{"id":"W4401691890","doi":"10.1109/mcas.2024.3358277","title":"AiCare: An Affordable, Reliable, and Intelligent Senior Care Ecosystem [Innovations Corner]","year":2024,"lang":"en","type":"article","venue":"IEEE Circuits and Systems Magazine","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Ecosystem; Computer science; Environmental resource management; Engineering; Systems engineering; Environmental science; Ecology; Biology","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001285781,0.0007317784,0.0003797341,0.001153777,0.00143009,0.004180209,0.001358858,0.002424475,0.01545227],"category_scores_gemma":[0.00215356,0.0002750936,0.0004459615,0.001156134,0.000664994,0.003675431,0.0046604,0.001734254,0.01085654],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0007028814,"about_ca_system_score_gemma":0.002199219,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.001780529,"about_ca_topic_score_gemma":0.003551163,"domain_scores_codex":[0.9989812,0.0001360896,0.00005598444,0.00009184982,0.0005665488,0.0001683295],"domain_scores_gemma":[0.9982168,0.0001034948,0.00008846392,0.0001452639,0.0008122354,0.0006337047],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.0002380857,0.0002348653,0.003570588,0.0003356014,0.00003970264,0.0005656034,0.0007068145,0.0008075587,0.007381599,0.0329099,0.5255263,0.4276833],"study_design_scores_gemma":[0.00005687845,0.0002857325,0.004802366,0.0002307071,0.00004798809,0.001007319,0.0004068796,0.004311774,0.002213852,0.00789506,0.9786696,0.00007170936],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"other","genre_gemma":"other","genre_scores_codex":[0.05914973,0.01166933,0.2349569,0.04526094,0.008254407,0.00117929,0.004760464,0.04707389,0.5876951],"genre_scores_gemma":[0.3885435,0.01295355,0.2654755,0.02930532,0.003275719,0.0009334158,0.01007621,0.002624986,0.2868119],"genre_candidate":"other","genre_consensus":"other","teacher_disagreement_score":0.01545227,"threshold_uncertainty_score":0.05169296,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03121719801690478,"score_gpt":0.2623599697803782,"score_spread":0.2311427717634734,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}